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A stochastic optimization model under modeling uncertainty and parameter certainty for groundwater remediation
1Department of Civil Engineering, Faculty of Engineering, Architecture and Science, Ryerson University, 350 Victoria Street, Toronto, Ontario, Canada M5B 2K3. li.he@ryerson.ca
Journal of Hazardous Materials
|December 17, 2009
Summary
Modeling uncertainty significantly impacts groundwater remediation costs, often exceeding the expense of addressing parameter uncertainty. Ignoring this can lead to higher remediation expenses and potential system failures.
Area of Science:
- Environmental Science
- Hydrogeology
- Optimization
Background:
- Groundwater remediation strategies are crucial for environmental protection.
- Modeling and parameter uncertainties can significantly affect the design and cost of remediation efforts.
- Existing models may not adequately account for the impact of modeling uncertainty.
Purpose of the Study:
- To apply a new stochastic optimization model under modeling uncertainty (SOMUM) to a real-world groundwater remediation site.
- To compare the impact of modeling uncertainty versus parameter uncertainty on optimal remediation strategies.
- To provide evidence for the necessity of addressing modeling uncertainty in groundwater remediation design.
Main Methods:
- Application of the stochastic optimization model under modeling uncertainty (SOMUM).
- Analysis of groundwater remediation strategies under various significance levels.
- Comparative assessment of modeling uncertainty (proxy-simulator residuals) and parameter uncertainty (physical properties).
Main Results:
- Optimal groundwater remediation strategies were derived using the SOMUM model.
- The cost of mitigating modeling uncertainty impact was found to be higher than for parameter uncertainty when parameter variance is around 40%.
- Modeling uncertainty, specifically from proxy-simulator residuals, cannot be ignored in remediation design.
Conclusions:
- There is a critical need to investigate and mitigate the impact of modeling uncertainty on groundwater remediation design.
- Ignoring modeling uncertainty can lead to increased remediation costs and risks of system failure.
- This research supports more robust and reliable groundwater remediation strategies by accounting for all uncertainty types.
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